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Towards Explainable Artificial Intelligence
In recent years, machine learning (ML) has become a key enabling technol...
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SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure
Ensuring safety and explainability of machine learning (ML) is a topic o...
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Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
Deep Learning is a state-of-the-art technique to make inference on exten...
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Real-time texturing for 6D object instance detection from RGB Images
For objected detection, the availability of color cues strongly influenc...
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PHS: A Toolbox for Parellel Hyperparameter Search
We introduce an open source python framework named PHS - Parallel Hyperp...
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Explaining and Interpreting LSTMs
While neural networks have acted as a strong unifying force in the desig...
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Multi-Label Class Balancing Algorithm for Action Unit Detection
Isolated facial movements, so-called Action Units, can describe combined...
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Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
Electrocardiography is a very common, non-invasive diagnostic procedure ...
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PHS: A Toolbox for Parallel Hyperparameter Search
We introduce an open source python framework named PHS - Parallel Hyperp...
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Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements
Digital contact tracing approaches based on Bluetooth low energy (BLE) h...
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Robust and Communication-Efficient Federated Learning from Non-IID Data
Federated Learning allows multiple parties to jointly train a deep learn...
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Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function
Fully-automatic lung lobe segmentation is challenging due to anatomical ...
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Underwater Color Restoration Using U-Net Denoising Autoencoder
Visual inspection of underwater structures by vehicles, e.g. remotely op...
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Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography
The high complexity of various inverse problems poses a significant chal...
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Deep Workpiece Region Segmentation for Bin Picking
For most industrial bin picking solutions, the pose of a workpiece is lo...
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Automatic Analysis of Sewer Pipes Based on Unrolled Monocular Fisheye Images
The task of detecting and classifying damages in sewer pipes offers an i...
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Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond
With the broader and highly successful usage of machine learning in indu...
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Evaluating Recurrent Neural Network Explanations
Over the last years machine learning (ML) has become a key enabling tech...
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Super-Resolution of PROBA-V Images Using Convolutional Neural Networks
ESA's PROBA-V Earth observation satellite enables us to monitor our plan...
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Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Integrated gradients as an attribution method for deep neural network mo...
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Real-time on-board obstacle avoidance for UAVs based on embedded stereo vision
In order to improve usability and safety, modern unmanned aerial vehicle...
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Towards Ground Truth Evaluation of Visual Explanations
Several methods have been proposed to explain the decisions of neural ne...
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Advancing Renewable Electricity Consumption With Reinforcement Learning
As the share of renewable energy sources in the present electric energy ...
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Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder
Adversarial attacks on deep learning models have been demonstrated to be...
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A Systematic Evaluation of Recent Deep Learning Architectures for Fine-Grained Vehicle Classification
Fine-grained vehicle classification is the task of classifying make, mod...
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Measuring Semantic Coherence of a Conversation
Conversational systems have become increasingly popular as a way for hum...
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Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling
In this comment on "Solving Statistical Mechanics Using Variational Auto...
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Efficient Pose Selection for Interactive Camera Calibration
The choice of poses for camera calibration with planar patterns is only ...
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Automatic Co-Registration of Aerial Imagery and Untextured Model Data Utilizing Average Shading Gradients
The comparison of current image data with existing 3D model data of a sc...
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Automated Distribution System Planning for Large-Scale Network Integration Studies
Network integration studies try to assess the impact of future developme...
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Explaining Recurrent Neural Network Predictions in Sentiment Analysis
Recently, a technique called Layer-wise Relevance Propagation (LRP) was ...
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Understanding and Comparing Deep Neural Networks for Age and Gender Classification
Recently, deep neural networks have demonstrated excellent performances ...
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On the regularization of Wasserstein GANs
Since their invention, generative adversarial networks (GANs) have becom...
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Explaining Predictions of Non-Linear Classifiers in NLP
Layer-wise relevance propagation (LRP) is a recently proposed technique ...
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Methods for Interpreting and Understanding Deep Neural Networks
This paper provides an entry point to the problem of interpreting a deep...
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Histograms of Gaussian normal distribution for feature matching in clutter scenes
3D feature descriptor provide information between corresponding models a...
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Knowledge Representation on the Web revisited: Tools for Prototype Based Ontologies
In recent years RDF and OWL have become the most common knowledge repres...
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"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach
Text documents can be described by a number of abstract concepts such as...
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Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
We present a deep neural network-based approach to image quality assessm...
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Deep Learning Prototype Domains for Person Re-Identification
Person re-identification (re-id) is the task of matching multiple occurr...
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Towards a New Science of a Clinical Data Intelligence
In this paper we define Clinical Data Intelligence as the analysis of da...
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Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Fisher Vector classifiers and Deep Neural Networks (DNNs) are popular an...
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Exploring Human Vision Driven Features for Pedestrian Detection
Motivated by the center-surround mechanism in the human visual attention...
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Multilinear Wavelets: A Statistical Shape Space for Human Faces
We present a statistical model for 3D human faces in varying expression,...
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How to Explain Individual Classification Decisions
After building a classifier with modern tools of machine learning we typ...
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Estimation of Human Body Shape and Posture Under Clothing
Estimating the body shape and posture of a dressed human subject in moti...
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Extended object reconstruction in adaptive-optics imaging: the multiresolution approach
We propose the application of multiresolution transforms, such as wavele...
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Review of Statistical Shape Spaces for 3D Data with Comparative Analysis for Human Faces
With systems for acquiring 3D surface data being evermore commonplace, i...
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Amending the Characterization of Guidance in Visual Analytics
At VAST 2016, a characterization of guidance has been presented. It incl...
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Named Entity Recognition in Twitter using Images and Text
Named Entity Recognition (NER) is an important subtask of information ex...
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